A multitude of optimization tasks ensue in the context of the smart grid, often exhibiting
undesirable characteristics like non-convexity, mixed types of design variables and multiple …

The term smart grid refers to a modernization of the electrical network consisting in the
integration of various technologies such as dispersed generation, dispatchable loads …

This paper presents the application of a novel algorithm, which is based on a modified Sine-
Cosine technique for solving the optimal power flow (OPF) problem. It is a highly coupled …

This work presents a novel Moth Swarm Algorithm (MSA), inspired by the orientation of
moths towards moonlight to solve constrained Optimal Power Flow (OPF) problem. The …

In this paper, an Improved version of the Slime Mould Algorithm (ISMA) is proposed and
applied to efficiently solve the single-and bi-objective Economic and Emission Dispatch …

The supply-demand-based optimization (SDO) is among the recent stochastic approaches
that have proven its capability in solving challenging engineering tasks. Owing to the non …

Optimal power flow (OPF) is a highly non-linear complex optimization problem where the
steady state parameters of an electrical network need to be determined for its economical …

This paper formulates the optimal power flow (OPF) problem with the consideration of
minimizing many objective functions including the basic fuel cost, fuel cost with valve-point …

Metaheuristic optimization algorithms are tools based on mathematical concepts that are
used to solve complicated optimization issues. These algorithms are intended to locate or …

The optimal power flow is considered as a crucial tool in the power systems' operation and
planning. To demonstrate, it aims at minimizing the operational costs of energy production …